Alessandro Epasto
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Co-authors
- Silvio LattanziAlessandro PanconesiLorenzo De StefaniEli UpfalMatteo RiondatoAllen ClementVahab MirrokniLorenzo Alvisi
- Topics
- Privacy-Preserving Technologies in Data (9 papers)Complex Network Analysis Techniques (8 papers)Complexity and Algorithms in Graphs (5 papers)
- Journals
- Proceedings of the VLDB EndowmentACM Transactions on Knowledge Discovery from DataAlgorithms
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Alessandro Epasto
26 papers receiving 452 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 204
- Computer Networks and Communications 196
- Statistical and Nonlinear Physics 177
- Information Systems 117
- Signal Processing 75
Countries citing papers authored by Alessandro Epasto
This map shows the geographic impact of Alessandro Epasto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alessandro Epasto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Epasto more than expected).
Fields of papers citing papers by Alessandro Epasto
This network shows the impact of papers produced by Alessandro Epasto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alessandro Epasto. The network helps show where Alessandro Epasto may publish in the future.
Co-authorship network of co-authors of Alessandro Epasto
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Epasto. A scholar is included among the top collaborators of Alessandro Epasto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alessandro Epasto. Alessandro Epasto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 5 | |
| 3 | Smoothly Bounding User Contributions in Differential Privacy | 2 |
| 4 | Fair Hierarchical Clustering | 1 |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 51 | |
| 10 | 40 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 45 | |
| 15 | 1 | |
| 16 | 39 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 96 |
About Alessandro Epasto
Alessandro Epasto is a scholar working on Statistical and Nonlinear Physics, Computer Science Applications and Artificial Intelligence, having authored 26 papers that have together received 471 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Complex Network Analysis Techniques (8 papers) and Complexity and Algorithms in Graphs (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (177 citations), Transportation (59 citations) and Computer Networks and Communications (196 citations). Alessandro Epasto has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Silvio Lattanzi, Alessandro Panconesi, Lorenzo De Stefani, Eli Upfal, Matteo Riondato, Allen Clement, Vahab Mirrokni, Lorenzo Alvisi, Renato Paes Leme and Julinda Stefa. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Knowledge Discovery from Data and Algorithms.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.